claude-flow

Claude-Flow v3: Enterprise AI Orchestration Platform

Overview

Claude-Flow is a comprehensive AI agent orchestration framework that transforms Claude Code into a powerful multi-agent development platform. It enables teams to deploy, coordinate, and optimize specialized AI agents working together on complex software engineering tasks.

Architecture

User → Claude-Flow (CLI/MCP) → Router → Swarm → Agents → Memory → LLM Providers
                       ↑                          ↓
                       └──── Learning Loop ←──────┘

Get Started Fast

npx claude-flow@v3alpha init 

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Key Capabilities

🤖 54+ Specialized Agents - Ready-to-use AI agents for coding, code review, testing, security audits, documentation, and DevOps. Each agent is optimized for its specific role.

🐝 Coordinated Agent Teams - Run unlimited agents simultaneously in organized swarms. Agents spawn sub-workers, communicate, share context, and divide work automatically using hierarchical (queen/workers) or mesh (peer-to-peer) patterns.

🧠 Learns From Your Workflow - The system remembers what works. Successful patterns are stored and reused, routing similar tasks to the best-performing agents. Gets smarter over time.

🔌 Works With Any LLM - Switch between Claude, GPT-4, Gemini, Cohere, or local models like Llama. Automatic failover if one provider is unavailable. Smart routing picks the cheapest option that meets quality requirements.

⚡ Plugs Into Claude Code - Native integration via MCP (Model Context Protocol). Use claude-flow commands directly in your Claude Code sessions with full tool access.

🔒 Production-Ready Security - Built-in protection against prompt injection, input validation, path traversal prevention, command injection blocking, and safe credential handling.

🧩 Extensible Plugin System - Add custom capabilities with the plugin SDK. Create workers, hooks, providers, and security modules. Share plugins via the decentralized IPFS marketplace.

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🔄 Core Flow — How requests move through the system

Layer	Components	What It Does
User	Claude Code, CLI	Your interface to control and run commands
Orchestration	MCP Server, Router, Hooks	Routes requests to the right agents
Agents	54+ types	Specialized workers (coder, tester, reviewer...)
Providers	Anthropic, OpenAI, Google, Ollama	AI models that power reasoning

🐝 Swarm Coordination — How agents work together

Layer	Components	What It Does
Coordination	Queen, Swarm, Consensus	Manages agent teams (Raft, Byzantine, Gossip)
Drift Control	Hierarchical topology, Checkpoints	Prevents agents from going off-task

🧠 Intelligence & Memory — How the system learns and remembers

Layer	Components	What It Does
Memory	HNSW, AgentDB, Cache	Stores and retrieves patterns 150x faster
Embeddings	ONNX Runtime, MiniLM	Local vectors without API calls (75x faster)
Learning	SONA, MoE, ReasoningBank	Self-improves from results (<0.05ms adaptation)
Fine-tuning	MicroLoRA, EWC++	Lightweight adaptation without full retraining